AI is rapidly becoming part of Enterprise Performance Management. Platforms are adding native AI capabilities, copilots and assistants at a fast pace. But what happens when your organisation has a specific use case that the standard functionality does not cover?
That is where CPMetric AI, developed by cpmview, comes in.
CPMetric AI is designed for EPM and CPM customers that want to bring specific AI use cases to life without having to build an entirely new AI solution from scratch. Where native AI capabilities stop,CPMetric provides specialised AI agents tailored to the organisation’s processes, data and EPM landscape.
The objective is simple: turn a concrete EPM use case into a working AI agent quickly.
For a clearly defined use case, a specific agent can typically be developed within two weeks, depending on scope, data availability and integration requirements. The agent can subsequently be deployed within the customer’s own environment or consumed as a SaaS solution.
More than just an LLM
In the world of EPM and CPM, relying solely on generative AI is often not enough. Financial processes require control, consistency and explainability.
That is why CPMetric AI combines three important elements:
1. Rules + human interaction + LLM
A CPMetric agent can combine rule-based logic, human interaction and an LLM of choice. Rules provide structure and control, the LLM adds intelligence and flexibility, while human interaction keeps people in control of decisions where judgement is required.
For EPM and CPM, we believe this combination is much more powerful than simply putting a chatbot on top of financial data.
2. Only use the agents you actually need
CPMetric uses an optimised, agent-based approach. Instead of implementing one large AI model that attempts to solve every problem, organisations can deploy specialised agents for specific tasks and use cases.
The result is a focused AI architecture in which each agent has a clear purpose.
3. Deploy it where it fits your architecture
CPMetric agents can be deployed within an organisation’s existing environment and can continue to evolve there. Alternatively, organisations can consume the capabilities as a SaaS product.
This makes it possible to fit AI into the existing EPM architecture rather than forcing the EPM landscape to adapt to a new standalone AI platform.
From idea to an EPM AI use case
CPMetric AI is not tied to one EPM technology. Agents can be developed around use cases involving platforms such as:
- SAP Analytics Cloud
- SAP Group Reporting
- CCH Tagetik
- OneStream
- Anaplan
- Vena
Think, for example, of an agent that analyses reporting variances and prepares explanations, supports consolidation checks, identifies unusual movements, assists with forecasting, enriches management reporting or performs a very specific piece of financial logic unique to your organisation. From idea to delivered use case in just two weeks.
The key question is therefore not:
“What can AI do?”
But rather:
“Which specific task in our EPM process would we like AI to solve?”
That is exactly where CPMetric starts.
Bringing EPM AI use cases to life
Many organisations already have ideas about AI in finance. The challenge is turning those ideas into practical solutions that work within the reality of financial processes, controls and existing EPM technology. CPMetric AI is designed to close that gap.
Start with the use case. Select the right combination of rules, human interaction and AI. Deploy the agents you need. And bring the use case to life.
That is the idea behind CPMetric AI by cpmview.
